Miruna-Alexandra Gafencu
Papers
1
Total Citations
2
H-Index
1
About
Miruna-Alexandra Gafencu is a researcher at the intersection of medical robotics and computer vision, with a primary focus on ultrasound-guided spinal interventions. Her most-cited work, "Shape Completion and Real-Time Visualization in Robotic Ultrasound Spine Acquisitions" (2025), addresses a critical challenge in spinal procedures: the shadowing artifacts that degrade ultrasound image quality. Gafencu developed a novel approach that combines shape completion techniques with real-time visualization, enabling robotic ultrasound systems to reconstruct obscured anatomical structures—such as deeper vertebrae—during live acquisitions. This work bridges the gap between traditional CT-to-US registration methods and practical, intraoperative imaging needs. With 2 citations in its early publication stage, her research is gaining traction for its potential to enhance surgical accuracy and safety without radiation exposure. Gafencu’s contributions are particularly notable for integrating machine learning with robotic control, offering a scalable solution for minimally invasive spine surgery. Her work promises to make ultrasound a more reliable tool in orthopedics and neurosurgery, reducing reliance on preoperative CT scans and improving real-time decision-making in the operating room.
Research Focus
Key Achievements
Top Papers
- 1